Robust stroke segmentation method for handwritten Chinese character recognition

Ke Liu, Yea-Shuan Huang, C. Suen
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引用次数: 26

Abstract

Presents a robust thinning-based method for the segmentation of strokes from handwritten Chinese characters. A new set of feature points is proposed for the analysis of skeleton images. A geometrical graph-based approach is developed for the analysis of strokes. A novel criterion is proposed for the identification of the fork points in a skeleton image which correspond to the same joint points in the original character image. Experimental results show that the proposed method is effective.
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手写汉字识别的鲁棒笔画分割方法
提出了一种基于鲁棒细化的手写汉字笔画分割方法。提出了一种新的用于骨骼图像分析的特征点集合。提出了一种基于几何图形的笔画分析方法。提出了一种新的识别骨架图像中与原字符图像中相同关节点对应的分叉点的准则。实验结果表明,该方法是有效的。
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Document layout analysis based on emergent computation Offline handwritten Chinese character recognition via radical extraction and recognition Boundary normalization for recognition of non-touching non-degraded characters Words recognition using associative memory Image and text coupling for creating electronic books from manuscripts
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